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Aragonite

Aragonite is a naturally occurring mineral form of calcium carbonate (CaCO3).
It is commonly found in marine environments, often in the form of seashells, coral, and other skeletal structures.
Aragonite is known for its unique crystal structure and is distinguished from the more common calcite form of calcium carbonate.
Researchers study aragonite for its potential applications in fields such as biomineralization, materials science, and environmental sciences.
PubCompare.ai can help locate the best protocols and products for aragonite research by leveraging AI-powered comparisons across literature, preprints, and patents, streamlining your workflow and enabling informed decisions.
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Most cited protocols related to «Aragonite»

Studies were conducted at three shallow submarine volcanic CO2 seeps and three adjacent control sites with similar geomorphology, seawater temperature and salinity, in Milne Bay Province, PNG [7 ]. The three seep locations (Dobu, Esa'Ala and Upa Upasina) are located along an active tectonic fault line, and almost pure CO2 gas has been streaming through the reef substrata for an unknown period of time (confirmed for approx. 70 years, but possibly much longer [7 ]), resulting in locally reduced seawater pH. Areas of intense seeping with a median pHtotal < 7.7 (approx. 1100 µatm pCO2) were not included in the surveys, because no reef development is found beyond this apparent threshold. Mean hard coral cover was similar at the seeps compared with the adjacent control sites (33% ± 2.4 s.e. versus 31% ± 3.4 s.e.). However, at high CO2, the cover of massive Porites corals is twice that of the control sites, the cover of structurally complex corals with branching, foliose and tabulate growth forms is reduced threefold, and coral diversity is reduced by 39% [7 ]. Seawater temperature and salinity are similar between seep and control sites [7 ].
A total of 968 discrete seawater samples of pH were taken at the six sites from approximately 0.5 m above the benthos (see electronic supplementary material). The data include all samples collected between 2010 and 2012, representing a range of tidal, irradiance and wave conditions to characterize the ranges encountered by the organisms. The samples were immediately analysed for pH, temperature and salinity, and a subset of 450 samples were preserved for later determination of total alkalinity and dissolved inorganic carbon. Other relevant seawater carbonate parameters (aragonite saturation state, dissolved inorganic carbon, pCO2) were calculated from pH, total alkalinity, dissolved inorganic carbon, salinity and temperature using the R program Seacarb v. 2.4.8 [25 ].
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Publication 2014
Alkalies Aragonite Carbon Carbonates Coral Salinity
To estimate site specific net CaCO3 accretion rates and to relate calcification/dissolution to natural variability in pH, the SeaFET sensors were co-located with Calcification/Accretion Units (CAUs) (Fig. S1). A CAU consisted of a pair of roughly sanded PVC plates (10×10 cm) stacked 1 cm apart and plate pairs (N = 5 per site) were affixed to reef pavement at each site (>0.5 m apart and 10 cm above the substrate) using stainless steel rods and marine epoxy. Immediately after collection, all four surfaces of each CAU were photographed to determine early-successional community structure using the image analysis software PhotoGrid 1.0 (25 stratified random points analyzed per surface); organisms were sorted into ecological functional groups to look for patterns structuring the communities on the benthos and on the CAUs. Plates were then preserved in 8% formalin for subsequent measures of calcification rates.
To quantify the mass of CaCO3 accumulated on a CAU, the plates were dried to a constant weight at 60°C and then weighed. Subsequently, CAUs were submerged in 5% HCl for 48 hrs or until all CaCO3 had dissolved. The remaining fleshy tissue was scraped onto pre-weighed 11 µm cellulose filter paper, vacuum filtered, dried, and weighed to determine the difference in calcified to fleshy biomass on CAU surfaces. Finally, the acidified, scraped, and dried CAU plates were weighed. Calcimass was determined by subtracting the weight of the fleshy tissue and PVC plates from the total mass of the CAU. For all taxa recruiting to CAUs, the polymorph of CaCO3 deposited is known. Thus, the relative net accretion for each polymorph (calcite, aragonite, high Mg calcite) was calculated by multiplying the net calcification rate by the relative abundance of each calcifying taxa of known mineralogy.
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Publication 2012
Aragonite Calcinosis Calcite Carbonate, Calcium Cellulose Epoxy Resins Formalin Marines Neutrophil Rod Photoreceptors Stainless Steel Tissues Vacuum
Prior studies indicate that borate rather than boric acid is the predominant species occupying the lattice position normally taken up by the carbonate ion52 in calcifiers that precipitate aragonite skeletons. Although there are a number of reaction pathways through which this substitution could occur19 20 (link), it is likely to involve de-protonation of the borate species to create a divalent base ion with the same charge as that of the carbonate ion species (−2), to preserve the charge neutrality of the growing crystal:

The partitioning of borate versus carbonate into aragonite is thus likely to be sensitive to solution pH10 19 20 (link). Here the relevant partition coefficient KD relating the molar ratio of to the concentrations of the carbonate and borate species in the precipitating solution is determined using:

Holcomb et al.19 conducted experiments quantifying the ratio of boron to calcium in aragonite precipitated inorganically under a wide range of carbonate chemistries (including pH) and total DIC and boron concentrations, as well as conditions of pH and DIC appropriate to those in the calcifying fluid of corals. Furthermore, Holcomb et al.19 also showed the close relationships between B/Ca, CO32− and KD based on substitution reactions between B(OH)4 and CO32−. Re-analysing the Holcomb et al.19 data, we find (Fig. 5) that the observed KD as defined in equation (4) shows the expected decrease as a function of the concentration of total active protons within the precipitating solution.
Thus, using the definition of KD from equation (4) and its dependency on pHcf as given by the inorganic data of Holcomb et al.19 , we can now calculate the concentration of carbonate ions within the calcifying fluid (that is, [CO32−]cf from measurements of (B/Ca)carb and pHcf, the latter derived from the skeletal boron isotopic ratio (δ11Bcarb). We further assume that [BT]cf is equal to the total concentration of boron of ambient seawater and only a function of seawater salinity ([BT]cf=[BT]sw at salinity=35). We therefore have:

Where KD=0.00297exp(−0.0202 [H+]T and for typical calcifying fluid pHcf values KD ∼0.0027, an order of magnitude higher than a previous estimate20 (link). The concentration of DIC within the calcifying fluid is then calculated from the measured pHcf (equation 1) and (equation 2) values using the programme CO2SYS provided by Lewis and Wallace53 , with the carbonate species dissociation constants of Mehrbach et al.54 as re-fitted by Dickson and Millero55 , the borate and sulfate dissociation constants of Dickson51 56 , and the aragonite solubility constants of Mucci57 . We also note that our use of a reliable experimentally determined KD is now consistent with substitution of borate with carbonate ion, rather than the previously inferred20 (link) substitution with bicarbonate ion, the latter assumption effectively negating the role of carbonate saturation state on calcification.
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Publication 2017
Aragonite Borates boric acid Boron Calcium, Dietary Carbonates Coral Ion, Bicarbonate Isotopes Molar Physiologic Calcification Salinity Skeleton Sulfates, Inorganic
The study was conducted at three island fringing reefs in Milne Bay Province, Papua New Guinea: Dobu, Esa'Ala and Upa Upasina (latitude 9°45′–9°49′ S, longitude 150°49′–150°52′ E), which are located on an active tectonic fault line where the continental plates of Australia and the Solomon Islands are spreading apart. Each reef contains an area where almost pure (~99%) volcanic CO2 is seeping in shallow water (<5 m depth) from the seafloor, and a control area ~0.5 to 2 km away from each seep with similar geomorphological settings that is not exposed to CO2 seepage15 (link). All sites are very similar in their environmental conditions, including temperature, salinity, light and currents15 (link).
The seawater chemistry data for the reef sites along the transects are published in Fabricius et al. (2014)24 (link). Above each of the numbered tiles, seawater samples were also repeatedly collected during four ~2-week long visits between 2011 and 2013. After returning to the boat, temperature and pH were measured immediately with a pH electrode following standard procedures34 (link). A total of 1134 samples were analysed for pH, with a median of 8 samples per tile (range: 4–23), and a subset were analysed for salinity (Mettler handheld salinity meter). Another subset of 728 samples (median: 5 per tile, range: 3–18) was preserved with mercury chloride in 250 ml polycarbonate bottles for later determination of other seawater carbonate parameters. Of these, 366 samples were analysed for combined total alkalinity (TA) and dissolved inorganic carbon (DIC) with a Vindta 3C (Marianda), the remaining samples were analysed for TA with a Metrohm 855 automated open cell potentiometric titrator35 (link). The remaining seawater carbonate parameters were calculated from the pH, TA, salinity and temperature data with the R program Seacarb v2.4.8 (Lavigne, H. & Gattuso, J. P., http://cran.r-project.org/web/packages/seacarb/index.html).
Of the seawater chemistry variables, the medians and percentiles of pH (converted to total scale), DIC, partial pressure of CO2 (pCO2), and the saturation state of calcite and aragonite (ΩCalc and ΩArag) were all highly correlated (correlation coefficients ranging from 0.81 to 0.97), and median pH was chosen as a proxy for changes in all these variables as predictor variable for the models. TA was less variable and hence more weakly correlated to the other carbonate chemistry variables (correlation coefficients to the other variables: 0.39 to 0.57).
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Publication 2015
Alkalies Aragonite Calcite Carbon Carbonates Cells Light Mercuric Chloride Partial Pressure polycarbonate Potentiometry Salinity
The experimental design consisted of four treatment conditions referred to as follows. (i) Control: 704 ± 62 µatm pCO2, 27.1 ± 0.05°C; (ii) high temperature: 798 ± 62 µatm pCO2, 31.0 ± 0.04°C; (iii) high pCO2: 1225 ± 98 µatm pCO2, 27.0 ± 0.02°C; and (iv) combined: 1412 ± 90 µatm pCO2, 31.1 ± 0.05°C (electronic supplementary material, tables S1–S3). There were five replicates of each coral genotype per treatment. The goal was to cause significant sublethal stress to assess physiological responses after prolonged exposure to the four different environmental scenarios. All corals were initially maintained under normal, ambient temperatures at 30.35 ± 0.2°C to mimic conditions at the time of sampling. After the corals were acclimated to the CAOS system for a week, the treatment temperature and pCO2 conditions were reached by incremental changes to the parameters through time. To achieve treatment values, the temperature of the approximately 27°C temperature treatments were decreased −0.5°C d−1 (over the span of 7 days) and held at approximately 27°C. Simultaneously, the temperature of the high-temperature treatments was increased at 0.75°C d−1 (over the span of 2 days) and held at approximately 31°C. The high pCO2 treatments were decreased by 0.1 pH units per day (over the span of 4 days) by bubbling CO2 within the source water header tank. Although the target goal for pCO2 was approximately 450 µatm (average open ocean conditions), the low pH of the near-shore water source and the challenges associated with off-gassing CO2 prevented reaching this goal. As such, pCO2 was maintained at approximately 750 µatm within the control and high-temperature treatment (see electronic supplementary material, table S3 for treatment metrics). After reaching the treatment conditions, the corals remained within these conditions for two months. Temperature, salinity, dissolved oxygen, water turnover rate, photosynthetically active radiation, total pH, total alkalinity, pCO2, HCO3, CO32 and the aragonite saturation state were measured to characterize the water quality throughout the experiment (see electronic supplementary material for detailed methodologies).
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Publication 2021
Alkalies Aragonite ARID1A protein, human Bicarbonates Coral Fever Genotype Oxygen physiology Radiation Salinity

Most recents protocols related to «Aragonite»

Cassiopea sp. were collected by hand while wading and snorkeling at our field locations in Lido Key, Florida, and Grassy Key, Florida. Due to the uncertain phylogeny of Cassiopea and the visual similarity between species, animals were not identified beyond genus level, although the two species recorded from Florida are C. andromeda and C. frondosa11 (link). These jellyfish were held at the University of South Florida in Tampa, Florida, in a 300 L closed-loop recirculating aquarium system. The salinity in this tank was maintained between 33 and 39‰ with Instant Ocean aquarium salt, and included a substrate of aragonite sand and high-intensity metal halide lighting on a 12:12 light cycle. Water temperature was maintained at ca. 28 °C over the duration of experiments.
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Publication 2023
Animals Aragonite ARID1A protein, human Metals Poaceae Salinity Sodium Chloride
The surface sample (of thick slides) was polished with alumina of 1 µm, 0.3 µm, and 0.05 µm and finally polished with colloidal silica (0.05 µm). Before analysis, samples were coated with a thin layer (ca. 2 nm) of carbon using a high vacuum coater. The EBSD study was carried out with Oxford NordlysMax detector mounted on a scanning electron microscope JEOL JSM-6610LV at the Institute of Materials Engineering, Łódź University of Technology. EBSD data were collected with AztecHKL software at high vacuum, 20 kV, large probe current, and 20 mm of working distance. EBSD patterns were collected at a resolution of 0.22 μm step size for crystallographic maps using the unit cell settings characteristic of aragonite and calcite as follows58 (link),59 (link): “Pmcn” symmetry and a = 4.96 Å, b = 7.97 Å, and c = 5.75 Å estimated for Favia coral using X-ray powder diffraction with synchrotron radiation (43) and a = b = 4.99 Å, and c = 17.06 Å, respectively. The EBSD data are represented in this study by crystallographic maps, phase images, and the pole figures, which represent the stereographic projection of crystallographic planes in reference to the (100), (010), (001) and (222) aragonite planes. Orientation images and the pole figures were created using MTEX open source plugin for Matlab program (https://mtex-toolbox.github.io/). To eliminate combination of red and green colors and create images more accessible for color-blind users we selected BungeColorKey palette from MTEX (the outcome was tested using Coblis, the Color Blindness Simulator at https://www.color-blindness.com/coblis-color-blindness-simulator/).
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Publication 2023
Aragonite Blindness, Color Calcite Carbon Cells Coral Crystallography Microtubule-Associated Proteins Oxide, Aluminum Powder Radiation Scanning Electron Microscopy Silicon Dioxide Vacuum X-Ray Diffraction
Two types of experimental methods were set up: (1) solution experiments and (2) replacement experiments. The combination of these two experimental settings and the studied temperature ranges allowed us to gain an in-depth picture on the kinetics and the governing factors during the crystallisation of Ce-bearing solids in the Ce–CO3–H2O system and provide detailed description for future material fabrication.
In the solution experiments, 10 ml of 50 mM Ce-bearing aqueous (Milli-Q) solutions (pH ≈ 5.1) were added to 10 ml of 50 mM Na2CO3 solutions in 20 ml Teflon-lined stainless-steel autoclaves at different temperatures (35, 50, 80 °C) and at saturated water vapor pressures (Table 1). To get more insight into the interaction of Ce and carbonate ions and the effects of temperature and concentration, additional 10 ml Ce-bearing aqueous (Milli-Q) solution (pH ≈ 5.1) mixed with 10 ml of Na2CO3 solution experiments were pre-heated and placed in hydrothermal reactors at 80 °C with different molar ratios of 1 : 1, 3 : 4 and 1 : 2 (Table 1). The solid samples were taken carefully at increasing time intervals. The reaction products were chilled to room temperature and filtered through 0.2 μm polycarbonate membranes by using a vacuum filtration unit. The solids were then placed into an oven at 50 °C for 30 min to remove any excess water.
In the replacement setting, 0.1 g of calcite, dolomite, or aragonite with sizes of 0.5–1.0 mm were added to 50 ml of 50 mM Ce-bearing aqueous (Milli-Q) solutions (Ce(NO3)3·6H2O; pH ≈ 5.1). The solutions each were prepared using cerium(iii) nitrate hexahydrate (Ce(NO3)3·6H2O) reagents (Sigma-Aldrich; 99.99% trace metals basis). The solutions and solids were placed in 50 ml Teflon-lined stainless-steel autoclaves at different temperatures (50, 90, 165, and 205 °C) and saturated water vapor pressures (Tables 2 and 3). Solid samples were taken carefully at increasing time intervals which were then placed into an oven at 50 °C for 30 min to remove any excess water. Also, control experiments consisting only of Ce-bearing aqueous solutions in closed reactors were carried out at the same temperatures of the solution and replacement experiments.
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Publication 2023
Aragonite Calcite Carbonates Cerium Crystallization dolomite Filtration Hydrostatic Pressure Ions Metals Molar Nitrates polycarbonate Stainless Steel Teflon Tissue, Membrane Vacuum
Scanning electron microscopy (SEM) was used to characterise the precipitates from the solution experiments, the changes in the morphology of the host minerals (calcite, dolomite, or aragonite), and the newly formed crystalline phases. Samples from the replacement experiments were carbon-coated and placed into a Tescan MIRA4 S8000 FEG-SEM operating under high-vacuum conditions and equipped with four Oxford Instruments NanoAnalysis X-Max 170 mm2 EDS detector running Oxford Instruments NanoAnalysis AZtecTimed analysis software. Powders from solution experiments were Au–Pd coated and imaged with Tescan TIGER MIRA3 FEG-SEM equipped with two Oxford Instruments X-Max 150 mm2 EDS detectors running Oxford Instruments AZtec software. All analyses were performed using an accelerating voltage of either 5 or 10 kV for detailed imaging.
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Publication 2023
Aragonite Calcite Carbon dolomite Ehlers-Danlos Syndrome with Platelet Dysfunction from Fibronectin Abnormality Minerals Powder Scanning Electron Microscopy Tigers Vacuum
The saturation indices (SI) of Ce-bearing carbonates during the equilibration of the Ce-bearing aqueous solutions with respect to calcite, dolomite, or aragonite were calculated with the hydrogeochemical code PHREEQC44 using the LLNL database45 The saturation index is defined as:where IAP corresponds to the ion activity product in solution and Ksp is the solubility product of the solid phase. The solubility products of Ce-bearing carbonates were determined by Essington and Mattigod.46
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Publication 2023
Aragonite Calcite Carbonates dolomite

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More about "Aragonite"

Aragonite is a naturally occurring form of calcium carbonate (CaCO3) that is commonly found in marine environments, often in the form of seashells, coral, and other skeletal structures.
This unique mineral is distinguished from the more abundant calcite form of calcium carbonate by its distinct crystal structure.
Researchers studying aragonite are particularly interested in its potential applications in fields like biomineralization, materials science, and environmental sciences.
Aragonite is a fascinating subject of study due to its intricate crystalline structure and the complex processes involved in its formation, such as biologically-mediated mineralization.
Beyond its geological and scientific significance, aragonite also has practical uses.
For example, it can be utilized in the production of durable and long-lasting construction materials, as well as in the development of specialized coatings and sealants.
The EpoxyCure resin system, which incorporates aragonite powder, is one such application that showcases the versatility of this remarkable mineral.
In the laboratory, researchers may employ a range of analytical techniques to study the properties and behavior of aragonite.
Instruments like the Nicolet iS5 spectrometer, manual hydraulic press, Quanta 200F Environmental SEM, and InVia Raman microspectrometer can be used to characterize the mineral's chemical composition, structural features, and interactions with other materials.
Additionally, the RNAlater RNA Stabilization Reagent can be useful in preserving biological samples containing aragonite, such as those derived from marine organisms involved in biomineralization processes.
The 3D Bioplotter technology may also find application in the fabrication of aragonite-based materials with complex, customized structures.
To streamline the research process and optimize workflows, scientists can leverage the power of AI-driven platforms like PubCompare.ai.
This innovative tool enables researchers to quickly locate the best protocols and products for their aragonite studies by providing AI-powered comparisons across literature, preprints, and patents.
By harnessing the capabilities of PubCompare.ai, researchers can make informed decisions, enhance their productivity, and stay at the forefront of aragonite-related advancements.